Dataset Versions
v10
2024-01-10 6:11am
Generated on Jan 9, 2024
527 Total Images
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Dataset Split
Train Set 91%
480Images
Valid Set 4%
23Images
Test Set 5%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Brightness: Between -30% and +30%